The University of Arkansas invites applications for a senior faculty position as a tenured associate or full professor, with a start date of August 2018. We are interested in applicants with expertise in data science which may include the broad areas of big data, data analytics, data mining, visual analytics, and computational science.

The position supports a campus-wide initiative to grow capabilities in the area of data sciences. The position was also created to support Governor Hutchinson’s Action Plan for Economic Competitiveness in Data Analytics and Computing in Arkansas. This recent report can be found at: https://governor.arkansas.gov/images/uploads/Ark2017_09_REV.pdf . The successful candidate is expected to conduct collaborative research in one of the data science areas mentioned above, as well as engaging industry and economic development. Applicants must have a Ph.D., or equivalent, in an area related to data science. The successful candidate’s tenure home will be in the college and department which best fits the candidate’s expertise and background. The candidate must present an excellent track record in scholarship and funding, and be able to provide evidence of high scholarly productivity through publication and service, as well as having a strong interest in teaching, mentoring students, and supporting research and curricular development in the areas of data science. Preferred qualifications include experience teaching at an accredited, higher education environment, national and international recognition in data science, and have achieved the rank of Associate or Full Professor with tenure, or equivalent professional status in industry or government. A successful candidate whose credentials warrant will be nominated as an Arkansas Research Alliance (ARA) Scholar. Additional information related to ARA Scholars and Fellows can be found at http://aralliance.org/ . Recognition as an ARA Scholar will provide the successful candidate with significant resources to continue and further the scholar’s contributions to research.

For a complete position announcement and information regarding how to apply, visit http://jobs.uark.edu/postings/25354. Applicants should submit (1) cover letter, (2) complete curriculum vitae, (3) statements of research and teaching, and (4) the names, titles, addresses, and contact information of four references. All application materials must be uploaded to the University of Arkansas’s employment system at jobs.uark.edu with respective position numbers listed above. Please do not send to listed recruitment contact. Completed applications received by March 25, 2018 will be assured full consideration. Late applications will be reviewed as necessary to fill the position. Inquiries or questions may be directed to:

Dr. Ralph Davis

Chair, Data Sciences Faculty Search Committee

ralphd@uark.edu

479-575-5624

The University of Arkansas has invested over $450 million on newly expanded and modernized facilities since 2011. The campus enrollment is over 27,700 in 2017. The university was classified as a “research university with very high levels of research activity” by the Carnegie Foundation in 2011. The U.S. News & World Report identified the University of Arkansas as one of the country’s nine up-and-coming public universities and the Chronicle of Higher Education listed the university as one of the best in the country in which to work.

Northwest Arkansas is a vibrant economic region having a population of over 500,000 and is home to the corporate headquarters of Walmart, Tyson Foods, and J.B. Hunt Transport Services, all Fortune 500 companies. Fayetteville, the home of the University of Arkansas, is #3 Best Place to Live among the cities in the US according to the recent rankings from the US News and World Report. For more information about the University and its location, see http://www.uark.edu.

The University of Arkansas is an equal opportunity, affirmative action institution. The university welcomes applications without regard to age, race, gender (including pregnancy), national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, sexual orientation or gender identity. Persons must have proof of legal authority to work in the United States on the first day of employment. All applicant information is subject to public disclosure under the Arkansas Freedom of Information Act.

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Contact: Ralph Davis

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Department of Mathematical Sciences will NOT accept postal applications, or fax, or email.